cohere's Posts (57)

Senior Member of Technical Staff, MLE

Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is the one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?As an AI Engineer (a Member of Technical Staff role on our Forward Deployed team) you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models. You’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally! As a Member of Technical Staff, you will:Plan and execute large-group projects that carry through from ideation to production.Bring cross-functional alignment across engineering, product and other disciplines. Mentor a distributed team of engineers in subject matter expertise. Identify opportunities and gaps in existing models and strategize what to work on.Work closely with product teams to develop solutions.Engage in collaborations with our partner organizations.Assist our legal teams with preparation of patents on developed IP.Join us at a pivotal moment, shape what we build and wear multiple hats! You may be a good fit if you have:Prior experience in leading ML teams in applied research and production.Prior experience in setting as well as executing technical direction to build new or to refine existing products.Prior experience in working cross-discipline in matrixed organizations.   Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.Experience using large-scale distributed training and inference.Strong mentorship, communication, and problem-solving skills.A demonstrated passion for applied ML models and products.Working proficiency in Korean.Bonus: experience working for B2B companies in the ML space. Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP) .* This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere. If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Our Perks: 🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Free daily lunch 🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🎨 Personal enrichment benefits towards arts and culture, fitness and well-being🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and coworking stipends✈️ Paid vacation

Location: Seoul

Salary range: None - None

Member of Technical Staff, RAG

Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is the one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work.Please Note: We have offices in Toronto, London, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role. As a Member of Technical Staff, you will:Design, build and scale AI systems for serving our users.Research, implement, and experiment with ideas on our supercomputer and data infrastructure.Learn from and work with the best researchers, engineers and annotators in the field.Drive agent development in RAG, tool use, and language agents.Work with internal annotators in creating and evaluating data for post-training LLMs, ensuring quality and performance. You may be a good fit if you have:Extremely strong software engineering skills.Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.Deep experience in AI data evaluation and managementStrong track record of creating and curating large-scale datasetsExperience using large-scale distributed training strategies.Familiarity with autoregressive sequence models, such as Transformers.Ability to collaborate effectively with human annotators and cross-functional teams.Paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Our Perks: 🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Free daily lunch 🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🎨 Personal enrichment benefits towards arts and culture, fitness and well-being🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and coworking stipends✈️ Paid vacation

Location: London / Toronto / New York / San Francisco

Salary range: None - None

Staff Research Engineer, Model Efficiency

Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?Large Language Models (LLMs) have demonstrated remarkable performance across various tasks. However, the substantial computational and memory requirements of LLM inference pose challenges for deployment. The mission of the model efficiency team is pushing the limits of LLM serving efficiency of our foundation models with techniques such as model architecture optimization, efficient algorithms, and software/hardware co-optimization.As a Staff Research Engineer in the model efficiency team, you will develop innovative solutions to boost the performance of LLM inference.Please Note: We have offices in Toronto, San Francisco, New York and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones. You may be a good fit for the model efficiency team if you: Have a PhD in Machine Learning or a related fieldUnderstand LLM architecture, and how to optimize LLM inference given resource constraintsHave significant experience with one or more techniques that enhance model efficiencyHave strong software engineering skillsHave an appetite to work in a fast-paced high-ambiguity start-up environmentPublished and presented at top-tier conferences and venues (ICLR, ACL, NeurIPS)Are passionate about mentoring others If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Our Perks: 🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

Location: Seattle / San Francisco / New York / Toronto

Salary range: None - None

Software Engineering Tech Lead, Web Ecosystem

Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?This team crafts the digital face of Cohere, providing clear and engaging content that showcases our technology. They build and maintain go-to resources for anyone wanting to understand or build with Cohere products.Please Note: We have offices in Toronto, San Francisco, New York, and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. This team is concentrated in EST and PST time zones. As a Software Engineering Tech Lead on this team, you will:Ship delightful experiences for our user-facing products, meticulously crafting code for browsers.Own and build robust services-oriented web experiences.Improve our data analytics pipelines, measure SEO effectiveness, and help marketing automate lead gen.Manage a small but enthusiastic team of software engineersMentor and grow your engineering colleagues of all levels through direct pairing sessions, architectural designs, documentation and talksIdentify and remove roadblocks that are blocking your team to increase engineering velocity and build resilient systems You may be a good fit if:You’ve shipped fast and snappy web apps loved by many usersYou’re familiar with SEO and data analyticsYou have 8+ years of experience writing clean backend code. Our stack includes: Typescript, next.js, react, Golang, and Python. You care about bringing value to our users - It’s not just about chasing the latest web API or JS framework. You understand the balance between craft and speedYou have been a tech lead, or a hands-on engineering manager, and you’re ok wearing the product manager hat from time to timeYou have excellent communication skills and believe that documentation are a great way to get feedback and discuss technical implementations and designs. You have the ability to take complex needs and goals and develop easy to understand explanations for all audiences to understandYou have an entrepreneurial spirit and motivation to scale a company or you’ve worked as a founding engineering If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Our Perks: 🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

Location: Toronto

Salary range: None - None

Senior/Staff Backend Engineer, Applied Endpoints

Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this Role?The Applied Endpoints team owns and builds production applications that enable customers to get the best experiences from Cohere’s models. This includes building open-source software (OSS), integrations, frontend, and backend services on top of Cohere’s models and APIs.Please Note: We have offices in Toronto, San Francisco, New York, and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. The Applied Endpoints team is concentrated in the EST and BST time zones. As a Senior/Staff Backend Engineer on this team, you will: Work with a small but ambitious team of engineers, designers, and product managers.Ship delightful experiences for our user-facing products, meticulously crafting code for browsers and server code.Own and build robust services-oriented web experiences and REST APIs; our backend stack includes Python.Keep up with the cutting edge and adopt new technologies to improve performance and reliability. You may be a good fit if:You have previous experience in Python or other languages for developing backend services.You’ve shipped fast and snappy backend services or web apps loved by many users.You care about bringing value to our users—it’s not just about chasing the latest tech stack. You understand the balance between craft and speed.You have an entrepreneurial spirit and enjoy working at a growing company.You get energized by the opportunity to make a big impact in a small team.You love mentoring developers of all levels and have excellent communication skills to provide effective feedback.You have conducted thoughtful and collaborative technical interviews for engineers in partnership with Talent and Engineering teams.You have crafted a project proposal, socialized it across teams, and built buy-in to execute it from start to finish. If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Our Perks: 🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

Location: London / Toronto / New York

Salary range: None - None

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